Biological Rhythm and Chronotype: New Perspectives in Health

Montaruli, A.; Castelli, Lucia; Mulè, Antonino; Scurati, R.; Esposito, Fabio; Galasso, Letizia; Roveda, Eliana

doi:10.3390/biom11040487

Cited by 123 publications

(73 citation statements)

References 209 publications

(258 reference statements)

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“…Of interest, the higher prevalence of the evening chronotype among patients with CP as compared with BMI-matched controls, associated with their worse metabolic profile, let us to speculate that the injury of the hypothalamic area controlling not only the feeding behaviour, but also the sleep-wake regulatory system and in circadian rhythm synchronisation, might represent an adjunctive risk for CP patients and a possible target for their integrate management. This hypothesis is in line with the possible bidirectional relationship between circadian rhythms and diseases [57]. To the best of our knowledge, this is the first study performed on adult patients with CP that reported the significant association of the evening chronotype with CP and the metabolic profile in this setting.…”

Section: Discussionsupporting

confidence: 84%

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Craniopharyngioma, Chronotypes and Metabolic Risk Profile

et al. 2021

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Aim: To investigate the potential association among Craniopharyngioma (CP), chronotypes and metabolic risk profile. Subjects and Methods: The study population included 28 patients (46.4% males; 42.6 ± 15.8 years) and 28 controls, age, gender and BMI matched (46.4% males; 46.5 ± 12.9 years). In this study sample, we evaluated: anthropometric measurements (waist circumference, WC; BMI), plasma glucose, lipid profile, and systolic (SBP) and diastolic (DBP) blood pressure. Morningness-Eveningness was measured with the Horne-Ostberg Morningness-Eveningness Questionnaire (MEQ), which included 19 questions about preferred sleep time and daily performance. Results: in both patients and controls grade I obesity was detected in 15 subjects (53.6%), grade II obesity in 13 subjects (46.4%). In the patient group, the mean score of chronotype was 47.8 ± 12.6. In particular, 9 patients (32.1%) exhibited the morning chronotype, 6 (21.4%) the intermediate chronotype and 13 (46.4.%) the evening chronotype. No significant difference was found in gender and age among the chronotype categories. Patients with the evening chronotype had higher blood pressure values and worse metabolic parameters than those with the morning chronotype. In the control group, the mean score of the chronotype was 57.6 ± 9.5. In particular, 16 (57.1%) subjects exhibited the morning chronotype, 10 (35.7%) the intermediate chronotype and only 2 (7.1.%) the evening chronotype. The prevalence of intermediate and evening chronotypes was higher in females than males (p = 0.021), while males have a higher prevalence of the morning chronotype. Subjects with intermediate and evening chronotypes had worse metabolic parameters than those with the morning chronotype. In patients, the chronotype score was inversely correlated to WC, BMI, SBP, DBP, plasma glucose, total cholesterol, triglycerides, LDL cholesterol and positively correlated with HDL cholesterol. No correlation was found between age and chronotype. In controls, the chronotype score was inversely correlated to WC, BMI, plasma glucose, total cholesterol, LDL cholesterol. No correlation was found among chronotype and age, blood pressure, triglycerides, HDL cholesterol. Considering the whole population of the study (patients and controls), at logistic regression the chronotype score was significantly associated with the presence of CP. Conclusions: for the first time thus far, our study puts the light on the association of the CP with chronotypes and metabolic alterations in this disease, which are the main determinants of the reduced quality of life, higher morbidity and mortality in this setting of patients. This finding suggests that alterations of chronotype might represent an adjunctive risk for CP patients and a possible target for their integrate management.

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Section: Discussionsupporting

confidence: 84%

“…The scores ranged from 16 to 86. Individuals, based on their scores, were categorised as being a morning (59-86), neither or intermediate (42)(43)(44)(45)(46)(47)(48)(49)(50)(51)(52)(53)(54)(55)(56)(57)(58), or evening (16-41) chronotype.…”

Section: Assessment Of Chronotypementioning

confidence: 99%

Craniopharyngioma, Chronotypes and Metabolic Risk Profile

et al. 2021

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“…For example, cortisol should be taken into account because its low level could interact with fatigue and cytokines production. Moreover, both cortisol and melatonin, the hormone predisposing to sleep, show a circadian rhythm and their altered rhythmicity could predispose to the pathology or be affected by cancer treatments [51]. In this view, rest-activity circadian rhythm analysis and cortisol and melatonin 24-h dosages could help describe sleep problems and their causes or consequences.…”

Section: Discussionmentioning

confidence: 99%

Sleep problems and their interaction with physical activity and fatigue in hematological cancer patients during onset of high dose chemotherapy

Castelli

Elter

Wolf

et al. 2021

Support Care Cancer

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Purpose Sleep problems reported by hematological cancer patients are usually linked to higher levels of cancer-related fatigue. Although the awareness of sleep problems in solid cancer patients is rising, there has been less attention to the issue in hematological cancer patients. The present study assesses the differences in sleep by comparing physical activity and fatigue levels among hematological cancer patients during the onset of chemotherapy. Furthermore, it investigates the relationship between sleep, physical activity, and fatigue through mediation analysis. Methods The recruited sample consists of 58 newly diagnosed hematological cancer patients (47.1 ± 15.4 yrs; 51.7% males). Subjects completed questionnaires assessing sleep (PSQI), physical activity (visual analogue scale), fatigue (MFI-20), anxiety, depression (HADS), and quality of life (EORTC QLQ-C30) within two weeks from starting treatment. Results The sample reported more sleep problems in comparison to the German population norm. The classification as good (ca 25%) or bad sleepers (ca 75%) showed less frequent physical activity (p = .04), higher fatigue (p = .032), anxiety (p = .003), depression (p = .011) and pain (p = .011) in bad sleepers. The mediation analysis revealed significant indirect effects of sleep on fatigue through physical activity habits. Conclusions This study highlights the combined action of sleep problems and physical activity on fatigue during the onset of induction chemotherapy. These two parameters could represent meaningful intervention targets to improve a patient’s status during chemotherapy. Trial registration The study was registered on the WHO trial register (DRKS00007824).

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“…Before the study beginning participants completed the Epworth sleepiness scale (ESS) [ 14 ] and Circadian type questionnaire (CTQ) for identification of internal preferences to morningness or eveningness [ 15 , 16 ]. A score greater than 10 on the ESS was exclusionary factor for study participation.…”

Section: Methodsmentioning

confidence: 99%

Sleep Characteristics According to Gender and Age Measured by Wrist Actigraphy

Kováčová

Stebelová

2021

IJERPH

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The sleep/wake rhythm is one of the most important biological rhythms. Quality and duration of sleep change during lifetime. The aim of our study was to determine differences in sleep efficiency, movement, and fragmentation during sleep period between genders and according to age. Sleep period was monitored by wrist actigraphy under home-based conditions. Seventy-four healthy participants—47 women and 27 men participated in the study. The participants were divided by age into groups younger than 40 years and 40 years and older. Women showed lower sleep fragmentation and mobility during sleep compared to men. Younger women showed a higher actual sleep and sleep efficiency compared to older women and younger men. Younger men compared to older men had a significantly lower actual sleep, lower sleep efficiency and significantly more sleep and wake bouts. Our results confirmed differences in sleep parameters between genders and according to age. The best sleep quality was detected in young women, but gender differences were not apparent in elderly participants, suggesting the impact of sex hormones on sleep.

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Biological Rhythm and Chronotype: New Perspectives in Health

Cited by 123 publications

References 209 publications

Craniopharyngioma, Chronotypes and Metabolic Risk Profile

Craniopharyngioma, Chronotypes and Metabolic Risk Profile

Sleep problems and their interaction with physical activity and fatigue in hematological cancer patients during onset of high dose chemotherapy

Sleep Characteristics According to Gender and Age Measured by Wrist Actigraphy

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